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- Tasks: Drive data and analytics for strategic projects across the EU Everyday Essentials team.
- Company: Join a dynamic team focused on building innovative solutions in a fast-paced environment.
- Benefits: Enjoy a hybrid work model and competitive daily rate of £451.
- Why this job: Shape the future of the business while collaborating with senior leadership and diverse teams.
- Qualifications: Experience with SQL, data visualization tools, and ETL pipeline engineering is essential.
- Other info: This is an 8-month fixed-term contract covering maternity leave.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
- Engage stakeholders in constructive dialogues to convert problem statements into logic problems that can be solved with data and scripting.
- Be integral part of the design process for new initiatives and nascent workstreams. You will apply your business sense to help bring the vision to life.
- Design, develop, and implement scalable, automated processes for big data extraction, processing, and analysis.
- Support the development on new reports/dashboards to inform business reviews, business case modelling for new initiatives, tracking of inputs/outputs, and more emerging strategy efforts.
- Design, build and maintain end-to-end data pipelines to scale and automate our processes.
- Build insights-oriented visualization tools (e.g., Quicksight, Tableau, Excel) to enhance existing ways to empower the team and partner teams.
- Help develop, upskill and empower team members through trainings and efficient knowledge management.
Base qualifications:
- Experience in analysing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modelling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling
- Experience with SQL
- Experience in the data/BI space
Top 3 Must Have Skills:
- SQL
- QuickSight
- Pipeline Engineering, ETL, Python
140772 - Business Intelligence Engineer II employer: Career Moves Group
Contact Detail:
Career Moves Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 140772 - Business Intelligence Engineer II
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, QuickSight, and Python. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the Business Intelligence field, especially those who work in similar roles. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the role.
✨Tip Number 3
Prepare for interviews by practising how to articulate your problem-solving process. Be ready to discuss how you would approach converting complex business problems into data-driven solutions, as this is a key aspect of the role.
✨Tip Number 4
Showcase your ability to work collaboratively by highlighting any past experiences where you engaged with stakeholders or cross-functional teams. This will demonstrate your capacity to thrive in a fast-paced, team-oriented environment like the one at StudySmarter.
We think you need these skills to ace 140772 - Business Intelligence Engineer II
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Business Intelligence Engineer II position. Understand the key responsibilities and required skills, such as SQL, QuickSight, and pipeline engineering.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your expertise in data analysis, ETL processes, and any experience with tools like Tableau or Quicksight.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how your background makes you a great fit for the role. Mention specific projects or experiences that demonstrate your analytical acumen and ability to work with cross-functional teams.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Career Moves Group
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and data visualisation tools like Tableau or QuickSight. Be prepared to discuss specific projects where you've successfully implemented these skills, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with the EU Everyday Essentials team and their strategic goals. Being able to articulate how your role as a Business Intelligence Engineer can contribute to their objectives will show that you are not just technically skilled but also business-savvy.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems using data. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to engage stakeholders in constructive dialogues.
✨Demonstrate Flexibility and Teamwork
Given the fast-paced environment, be ready to discuss examples of how you've adapted to changing circumstances in previous roles. Highlight your experience working collaboratively with cross-functional teams, as this is crucial for success in this position.
